Affectiva's CEO explains how machine learning is used to train algorithms to detect faces
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 Published On Jul 27, 2020

The science of facial emotions has existed for over 200 years. In this session from LiveWorx, Rana el Kaliouby breaks down how technology can be used to read faces.

You have 45 muscles in your face that are used to change expression. If you want to become a certified facts coder or face reader it will take you about 100 hours.

It's laborious and time-intensive.

As Co-Founder and CEO of Affectiva, Rana talks about how computer vision, machine learning and deep learning are be used to train algorithms to help humans detect facial expressions.

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